Architecting Fluid Android Experiences.

Senior Android Engineer specializing in Kotlin, Jetpack Compose, and Scalable Systems. Obsessed with the intersection of Mobile and Artificial Intelligence.

Technical Stack

Mobile

Android

Mobile

iOS

Mobile

Kotlin

Mobile

Jetpack Compose

UI

KMP

Cross-platform

Flutter

Cross-platform

AI & DevOps

LLM Integration

AI

AI Tools

AI

CI/CD

DevOps

Experience

  • Team Lead Software Engineer

    Jan 2026 – Present

    Plan A — Remote

    Direct the architecture and lifecycle of modern, scalable applications, overseeing development and maintenance of multiple concurrent projects. End-to-end POS development: architected and built a Point of Sale (POS) terminal application from scratch, including custom hardware integration. Technical leadership: lead engineering team discussions to design and implement innovative solutions. Hardware R&D: research and integrate new hardware components through technical documentation analysis and manufacturer collaboration.

  • Android Engineer Sr

    Jun 2023 – Jan 2026

    Plan A — Remote

    Developed new applications with modern architectures and libraries for a US-based company. Optimized legacy app performance through architectural improvements and streamlined CI/CD from build to Play Store deployment. Redesigned app architecture and API optimization, implemented new UX/UI, and built complex Android applications with Coroutines and Jetpack Compose. Built CI/CD with Microsoft VSTS and shared libraries for all apps. Tech: MVVM, Kotlin, Coroutines, Hilt, Jetpack Compose, Retrofit, JUnit, Mockito.

  • Engineer Manager

    Jun 2020 – Jan 2023

    XP Inc — São Paulo, Brazil

    Managed and supported a multifunctional team, ensuring technical evolution aligned with company goals. Responsible for strategic decisions on new product development. Developed people to achieve their best and helped define career paths. Contributed to developing and implementing a multi-brand Credit and Debit Card product.

  • Android Engineer Sr

    Aug 2018 – Jun 2020

    XP Inc — São Paulo, Brazil

    Rebuilt the Rico codebase from scratch (originally non-native). Designed and developed the architecture and led deployment. Rethought the XP Investment APP architecture to allow multiple teams to work independently on the same app. Redesigned architecture, API optimization, new UX/UI, complex Android applications. Built CI/CD with Microsoft VSTS and shared libraries for companies under XP Investimentos. Tech: MVP/MVVM, Kotlin, RxJava, Dagger2, Koin, Retrofit, Socket, JUnit, Mockito.

  • Tech Lead Android

    Jun 2016 – Aug 2018

    Netshoes — São Paulo, Brazil

    Started as senior Android developer with three others; rebuilt the app from scratch as a fully white-label solution for multiple e-commerce brands. After 1.5 years became App Tech Lead for both platforms. Designed app architecture and API optimization, developed complex Android applications, drove technical decisions for Group Netshoes apps. Built CI with Jenkins. Tech: MVP, Java and Kotlin, RxJava, Dagger2, Retrofit, JUnit, Mockito.

AI Philosophy

How I think about AI in 2025: tools that extend us, run where we work, and stay under human control.

Cognitive extension, not replacement

AI works best when it extends how we think and build—faster iteration, sharper drafts, fewer context switches. The goal isn’t artificial minds replacing us; it’s better tools that let us focus on judgment, taste, and the parts only humans can do.

On-device and local-first

The future of useful AI is in your pocket and on your laptop: small, fast models that run locally. Privacy stays with the user, latency disappears, and we’re not locked into a single cloud. Mobile is where this lands first.

Human in the loop, always

Autonomous agents are impressive demos; production systems need a human in the loop. I care about AI that suggests, drafts, and accelerates—while the human stays in control of what ships and what gets said.

Open, aligned, and accountable

Open weights and transparent tooling aren’t just good for innovation—they’re how we keep AI accountable and aligned with how people actually work. I’m interested in tooling that is explainable, debuggable, and safe by design.